a neuroevolutionary corpusbased method for word sense disambiguation
Báo cáo khoa học: "A Method for Word Sense Disambiguation of Unrestricted Text" potx
Ngày tải lên :
08/03/2014, 06:20
... lexical knowledge
methods for word sense disambiguation.
Computational Linguistics.
J. Stetina, S. Kurohashi, and M. Nagao. 1998.
General word sense disambiguation method
based on a full ... semantically close. For appli-
cations such as machine translation, fine grain
disambiguation works well but for information
extraction and some other applications this is
an overkill, and ... knowledge
sources for word sense disambiguation.
Com-
putational Linguistics,
18(1):1-30.
R. Mihalcea and D.I. Moldovan. 1999. An au-
tomatic method for generating sense tagged
corpora. In
Proceedings...
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Báo cáo khoa học: "SenseRelate::TargetWord – A Generalized Framework for Word Sense Disambiguation" doc
Ngày tải lên :
08/03/2014, 04:22
... Sessions,
pages 73–76, Ann Arbor, June 2005.
c
2005 Association for Computational Linguistics
SenseRelate::TargetWord – A Generalized Framework
for Word Sense Disambiguation
Siddharth Patwardhan
School ... sub-tasks, each of which is represented by
a separate module. Each of the sequential sub-tasks
or stages accepts data from a previous stage, per-
forms a transformation on the data, and then passes
on ... lexical sample format, which is an
XML–based format that has been used for both the
S
ENSEVAL-2 and SENSEVAL-3 exercises. A file in
this format includes a number of instances, each one
made up...
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Tài liệu Báo cáo khoa học: "ParaSense or How to Use Parallel Corpora for Word Sense Disambiguation" pdf
Ngày tải lên :
20/02/2014, 05:20
... their aligned translations (and probabil-
319
algorithm parameters in machine learning of language.
Machine Learning, pages 84–95.
I. Dagan and A. Itai. 1994. Word sense disambiguation
using a second ... state-of-the-art systems for all languages, ex-
cept for Spanish where the results are very similar.
As all steps are run automatically, this multilingual
approach could be an answer for the acquisition ... results com-
pared to the best systems that were evaluated
on the SemEval-2010 Cross-Lingual Word
Sense Disambiguation task for all five target
languages.
1 Introduction
Word Sense Disambiguation (WSD)...
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Báo cáo khoa học: "Estimating Class Priors in Domain Adaptation for Word Sense Disambiguation" pdf
Ngày tải lên :
08/03/2014, 02:21
... the
two SENSEVAL tasks. This gave a set of 6 nouns
for SENSEVAL-2 and 9 nouns for SENSEVAL-
3. For each noun, we gathered a maximum of 500
parallel text examples as training data, similar to
what ... sampling with incomplete infor-
mation. Annals of Mathematical Statistics, 26(4).
Yee Seng Chan and Hwee Tou Ng. 200 5a. Scaling
up word sense disambiguation via parallel texts. In
Proc. of AAAI05.
Yee ... on data which
was automatically gathered from the Internet. The
authors reported a 14% improvement in accuracy
if they have an accurate estimate of the sense pri-
ors in the evaluation data and...
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Báo cáo khoa học: "Learning Expressive Models for Word Sense Disambiguation" pot
Ngày tải lên :
08/03/2014, 02:21
... be available
for many examples. The problem of data sparse-
ness increases as more knowledge is exploited and
this can cause problems for the machine learning
algorithms.
A final disadvantage ... In-
troduction to Machine Translation. Academic Press,
Great Britain.
Abolfazl K. Lamjiri, Osama El Demerdash, Leila Kos-
seim. 2004. Simple features for statistical Word
Sense Disambiguation. Proceedings ... 1st_prep_right, back).
Rule_2. sense (A, chegar) :-
has_rel (A, subj, B), has_bigram (A, today, B),
has_bag_trans (A, hoje).
Rule_3. sense (A, chegar) :-
satisfy_restriction (A, [animal, human], [concrete]);
...
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Báo cáo khoa học: "Domain Adaptation with Active Learning for Word Sense Disambiguation" pdf
Ngày tải lên :
08/03/2014, 02:21
... and accuracy improvement is less than
1% after all the available WSJ adaptation examples are added
as additional training data. To obtain a clearer picture of the
adaptation process, we discard ... in BC and
WSJ, average MFS accuracy, average number of BC
training, and WSJ adaptation examples per noun.
data, and the rest of the WSJ examples are desig-
nated as in-domain adaptation data. The ... pos-
teriori (MAP) estimation, and successfully used it
for probabilistic context-free grammar domain adap-
tation (Roark and Bacchiani, 2003) and language
model adaptation (Bacchiani and Roark, 2003).
Count-merging...
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Báo cáo khoa học: "Exploiting Parallel Texts for Word Sense Disambiguation: An Empirical Study" potx
Ngày tải lên :
08/03/2014, 04:22
... training data
so that we can do a fair comparison between the
accuracy of the parallel text alignment approach
versus the manual sense- tagging approach.
After training a WSD classifier for w ... systems and distinguishing senses: New evalua-
tion methods for word sense disambiguation. Natural
Language Engineering, 5(2):113-133.
David Yarowsky, Silviu Cucerzan, Radu Florian,
Charles Schafer, ...
However, large-scale, good-quality parallel
corpora have recently become available. For ex-
ample, six English-Chinese parallel corpora are
GIZA++. For two of the corpora, Hong Kong Han-
sards and...
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Tài liệu Báo cáo khoa học: "A Kernel PCA Method for Superior Word Sense Disambiguation" ppt
Ngày tải lên :
20/02/2014, 16:20
... each word, training and test instances tagged
with WordNet senses are provided. There are an av-
erage of 7.8 senses per target word type. On average
109 training instances per target word are ... Springer-Verlag, New York,
1995.
David Yarowsky and Radu Florian. Evaluat-
ing sense disambiguation across diverse param-
eter spaces. Natural Language Engineering,
8(4):293–310, 2002.
David Yarowsky, ... and Matsumoto (2001), Isozaki and
Kazawa (2002), Mayfield et al. (2003)) including
the word sense disambiguation task (e.g., Cabezas
et al. (2001)). Given that SVM and KPCA are both
kernel methods,...
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Báo cáo khoa học: "A Knowledge-free Method for Capitalized Word Disambiguation" doc
Ngày tải lên :
17/03/2014, 07:20
... singu-
ã lar and plural proper names and we also did
not count as an error the adjectival reading of
words which are always written capitalized (e.g.
American, Russian, Okinawian, etc.). ... normally
act as proper names: even if such a word is
observed in a document only as a proper name
(usually as part of a multi -word proper name),
it is still not safe to mark it as a proper name ...
Disambiguation of capitalized words in mixed-
case texts has hardly received much attention
in the natural language processing and infor-
mation retrieval communities, but in fact it
plays...
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Tài liệu Báo cáo khoa học: "SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text" doc
Ngày tải lên :
20/02/2014, 15:20
... supervised word sense disam-
biguation system that attempts to disam-
biguate all content words in a text using
WordNet senses. We evaluate the accu-
racy of SENSELEARNER on several stan-
dard sense- annotated ... the training data
to disambiguate the words in the test data set. As a
result, the algorithm does not need a separate classi-
fier for each word to be disambiguated, but instead it
learns global ... supervised algorithms is however lim-
ited only to those few words for which sense tagged
data is available, and their accuracy is strongly con-
nected to the amount of labeled data available at hand.
Instead,...
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